The graph represents a network of 10 300 Twitter users whose recent tweets contained "Lyman", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18 000 tweets. The network was obtained from Twitter on Tuesday, 27 September 2022 at 19:48 UTC.
The tweets in the network were tweeted over the 1-day, 6-hour, 57-minute period from Monday, 26 September 2022 at 12:09 UTC to Tuesday, 27 September 2022 at 19:07 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
The graph is directed.
The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Author Description
Vertices : 10300
Unique Edges : 17326
Edges With Duplicates : 6582
Total Edges : 23908
Number of Edge Types : 5
Retweet : 15097
Replies to : 1743
MentionsInRetweet : 3233
Tweet : 1636
Mentions : 2199
Self-Loops : 1674
Reciprocated Vertex Pair Ratio : 0,00792291220556745
Reciprocated Edge Ratio : 0,0157212661992777
Connected Components : 633
Single-Vertex Connected Components : 382
Maximum Vertices in a Connected Component : 9113
Maximum Edges in a Connected Component : 22578
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4,189262
Graph Density : 0,000177489189731871
Modularity : 0,539901
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 10 300 Twitter users whose recent tweets contained "Lyman", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18 000 tweets. The network was obtained from Twitter on Tuesday, 27 September 2022 at 19:48 UTC.
The tweets in the network were tweeted over the 1-day, 6-hour, 57-minute period from Monday, 26 September 2022 at 12:09 UTC to Tuesday, 27 September 2022 at 19:07 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch
Graph Term : Lyman
Groups : The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
Edge Color : Edge Weight
Edge Width : Edge Weight
Edge Alpha : Edge Weight
Vertex Color : In-Degree
Vertex Radius : In-Degree
Vertex Alpha : In-Degree
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[4459] ukrainian,forces [2081] russian,sources [1394] russian,forces [1377] lines,lyman [1196] lyman,donetsk [1119] oskil,river [1036] pro,russian [1005] north,lyman [954] lyman,pro [908] russian,troops Top Word Pairs in Tweet in G1:
[721] ukrainian,forces [491] russian,sources [396] lines,lyman [365] supply,lines [362] russian,supply [358] forces,crossed [355] river,order [353] lyman,open [352] crossed,river [351] order,disrupt Top Word Pairs in Tweet in G2:
[1058] ukrainian,forces [613] russian,forces [593] criticalthreats,thestudyofwar [593] lyman,donetsk [586] encircle,russian [581] donetsk,oblast [580] occupied,lyman [578] advancing,ukrainian [577] forces,occupied [576] maps,criticalthreats Top Word Pairs in Tweet in G3:
[654] ukrainian,forces [381] russian,sources [355] #ukraine,#lyman [339] pro,russian [339] supply,line [337] siversky,donetsk [337] forest,supply [337] line,left [336] forces,successfully [336] successfully,crossed Top Word Pairs in Tweet in G4:
[261] ukrainian,forces [179] fire,control [164] bars,13 [154] report,bars [154] road,life [153] control,road [152] lyman,mini [152] mini,judging [152] judging,report [152] 13,manning Top Word Pairs in Tweet in G5:
[383] armed,forces [383] forces,ukraine [278] oskil,river [258] battle,lyman [245] fire,control [244] east,oskil [242] ukraine,liberated [240] novoselivka,ukrainian [238] liberated,kup'yans'k [238] kup'yans'k,vuzlovyi Top Word Pairs in Tweet in G6:
[266] lyman,donetsk [259] russian,soldiers [257] 20,russian [257] soldiers,surrender [255] donetsk,province [254] surrender,zsu [254] zsu,lyman [190] ukrainian,forces [134] russian,sources [117] map,lyman Top Word Pairs in Tweet in G7:
[615] ukrainian,forces [448] wagner,forces [448] forces,attack [448] attack,far [448] far,sending [448] sending,inmates [448] inmates,support [448] support,ukrainian [448] ukrainian,guns [448] guns,like Top Word Pairs in Tweet in G8:
[374] 0526,hwy [244] russian,sources [199] rail,complex [198] zelena,dolyna [189] troops,contact [189] contact,south [189] south,lyman [189] lyman,rail [189] dolyna,pressing [189] east,drobysheve Top Word Pairs in Tweet in G9:
[52] cities,armies [50] armies,pivot [50] pivot,fight [50] fight,ukraine [50] ukraine,east [24] #ukraine,#russia [23] ukraine,update [20] de,lyman [20] lyman,lake [20] lucky,item Top Word Pairs in Tweet in G10:
[99] russian,forces [88] tanks,ukraine [80] forces,lyman [77] edward,snowden [77] snowden,granted [77] granted,#russian [77] #russian,citizenship [77] citizenship,lawyer [77] lawyer,reassured [77] reassured,public Top Replied-To in Entire Graph:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: